Insights / Visibility & Authority
What is AI visibility, and when should it matter to you?
A plain introduction: whether AI tools find you, describe you correctly, and recommend you.
A prospect used to find you through a search, a referral or a directory. Then they’d look at your website and decide whether to call.
That still happens. But more often there’s a step in between. They ask an AI tool.
“Which firms handle succession planning for family businesses?”
“Who supplies custom enclosures for industrial controls?”
“Is this physiotherapy clinic any good?”
The tool writes an answer. It names a few businesses, says what each is known for, and sometimes links to sources. The prospect reads it, then checks the ones that sound right.
AI visibility is whether you’re part of that answer, and whether what it says about you is true.
Three things AI visibility covers
Discoverability. Can the tool find you at all? Some answers come from what a model learned during training. Others come from searching the web at the moment of the question. If little has been written about you, or your site can’t be reached, there’s nothing to find.
Accuracy. When it mentions you, does it get you right? Your services, your location, the kind of clients you work with, your name if it changed. An answer that calls your accounting firm a bookkeeping service, or places your clinic in the wrong town, sends the wrong people or none at all.
Recommendation. When someone asks who to consider, are you on the short list? This is the hardest to influence and the one nobody can promise. It depends on how clearly your expertise shows up across your site and in what other credible sources say about you.
Most businesses have a gap in at least one of the three. Which one tells you what to do next.
It isn’t only a local search problem
Most writing on this treats AI visibility as a contest for “best plumber near me.” That’s one case. It’s often not the most important one.
Say you run a 20-person law firm that wins most work by referral. Nobody asks AI to find you. But a referred prospect asks it what your firm is known for before the first call. If the answer is thin or wrong, the referral loses weight.
Say you’re a manufacturer selling to a few hundred known buyers. An engineer researching suppliers asks which companies make a component to a particular standard. If your capabilities are buried in a PDF, the tool may not connect you to the question.
Say you run a dental or physiotherapy clinic. Patients still search locally, and AI tools increasingly sit on top of those results. Consistent details and real reviews on the platforms people use matter, because they’re part of what tools read.
Different businesses, same question: can buyers find you, verify you and consider you when the answer is written for them?
When it should be a priority
AI visibility deserves attention now when your buyers research before they contact anyone, when your service is considered rather than impulse, when competitors are being named and you aren’t, or when what AI says about you is wrong.
Foundational work comes first when your website doesn’t say plainly what you do, your business details disagree across profiles and directories, crawlers are blocked by accident, or there’s little proof of your work anywhere a tool could see it. Fixing those helps search and AI at the same time. Here’s how SEO, AEO and GEO fit together.
You can’t edit what a model remembers. You can shape what it finds when it looks.
What the work looks like
Find out where you stand.
Ask the questions your buyers ask, on more than one tool, more than once, and record what comes back. Here’s a 30-minute way to check.
Make sure tools can reach your site.
Check robots.txt and your hosting or CDN settings. Training crawlers and search crawlers are often separate, so decide on each deliberately.
Say what you do, for whom and where.
Plainly, on the pages that matter. Name the service, the client type and the area, so neither a person nor a machine has to guess.
Tell the same story everywhere.
Your website, business profiles, directories and team bios should agree. Contradictions make you harder to describe accurately.
Build proof others can verify.
Independent reviews, industry mentions, credentials and documented work carry more weight than claims on your own site.
Structured data can help machines read your pages accurately, but Google says no special markup is required to appear in its AI features. It supports the work. It isn’t the work.
What an audit can establish
A good AI visibility review can tell you where you appear, how you’re described, which competitors are named instead, and which sources the tools seem to rely on. It can find technical barriers and gaps in the evidence about you.
It can’t tell you what every tool will say tomorrow, or promise that fixes will get you named. Answers vary by platform, wording and run. The point is a baseline you can measure against, and a list of causes you can actually fix. That’s the approach behind our AI visibility work.
AI visibility isn’t a new channel to buy.
It’s whether the evidence about you is clear enough
for a machine to repeat it correctly.